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Impact of Intelligent Manufacturing on Total-Factor Energy Efficiency: Mechanism and Improvement Path

Author

Listed:
  • Pengfei Zhou

    (School of Economics and Management, Chongqing Normal University, Chongqing 401331, China)

  • Mengyu Han

    (Institute of Quantitative Economics, Huaqiao University, Xiamen 361021, China)

  • Yang Shen

    (Institute of Quantitative Economics, Huaqiao University, Xiamen 361021, China)

Abstract

Intelligent technology is the core driving force of the fourth industrial revolution, which has an important impact on high-quality economic development. In this paper, the panel data of 30 provinces from 2006 to 2019 were selected to construct a regression model to conduct an empirical analysis on the role and mechanism of intelligent manufacturing in improving total factor energy efficiency. The research results show that first, the productivity effect, scale effect and resource allocation effect of intelligent manufacturing can significantly improve the energy efficiency of the total factor, and the conclusion is still established after endogenous treatment and robustness testing. Second, the results of the action mechanism show that labor price distortion and carbon emission trading policy are important mechanisms for intelligent manufacturing to improve total-factor energy efficiency. Specifically, the corrected labor price can enhance the motivation of enterprise research and development and innovation and solve the dilemma of the low-end industrial structure, thus improving the efficiency of total-factor energy efficiency. The carbon emission trading policy strengthens the willingness of enterprises to improve the process, eliminate backward equipment and increase the research and development of green technology, and it has a positive regulatory role in the process of improving total-factor energy efficiency in intelligent manufacturing.

Suggested Citation

  • Pengfei Zhou & Mengyu Han & Yang Shen, 2023. "Impact of Intelligent Manufacturing on Total-Factor Energy Efficiency: Mechanism and Improvement Path," Sustainability, MDPI, vol. 15(5), pages 1-22, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:3944-:d:1076096
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